Borrowing it
Nothing to install: this file belongs to lsampaioweb/ai-instructions. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lsampaioweb/ai-instructions/main/.github/skills/clean-slate-workspace/SKILL.mdgit clone --depth 1 https://github.com/lsampaioweb/ai-instructionsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lsampaioweb/ai-instructions/clean-slate-workspace)<a href="https://agentmods.dev/skills/lsampaioweb/ai-instructions/clean-slate-workspace"><img src="https://agentmods.dev/badge/skills/lsampaioweb/ai-instructions/clean-slate-workspace/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lsampaioweb/ai-instructions/clean-slate-workspace"><img src="https://agentmods.dev/badge/skills/lsampaioweb/ai-instructions/clean-slate-workspace.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.00376 |
| Opus 5.5 | $0.00009 | $0.00150 |
| Sonnet 5.5 | $0.00004 | $0.00075 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
clean-slate-workspace scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Clean Slate Workspace
1. Inspect the Workspace
- Inspect current conversation artifacts in the active workspace.
- List all files, plans, repository memory, session memory, and temporary artifacts created in this chat.
- Determine ownership for each artifact.
2. Resolution Rules
- Do not delete anything until inspection is complete and targets are listed.
- Delete only artifacts created in this chat.
- Treat ambiguous ownership as user-authored.
- Never delete or modify user-authored files or ambiguous-ownership artifacts.
- Do not touch persistent user-level memories or reusable customizations unless they were created for this workspace in this chat.
- Remove empty directories left by deletions.
- Confirm no session-created files or empty directories remain after deletion.
- If no session-created artifacts exist, state that explicitly and stop.
3. Safety Guards
- Execution boundary: Delete only after presenting the target list and receiving the user's explicit confirmation.
4. Review Plan Layout
Use this exact markdown schema:
Scope
- Target:
- Mode: <read-only | apply-after-confirmation>
Result
- Summary:
Evidence
- Deleted: <none | item1; item2>
- Preserved: <none | item1; item2>
- Uncertainties: <none | item1; item2>
Next Action
- <single minimal next step or
none>
Verdict
- READY | NEEDS FIXES | BLOCKED
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago Changed · +9 lines · -32 tokens per session 62c5ac61d1c0
- 2mo ago First seen · 38 lines · 54 tokens per session scan A 77aa3cbe0459
clean-slate-workspace is a skill published in the GitHub repository lsampaioweb/ai-instructions (1 stars, last pushed 5d ago), licensed MIT. It adds 22 tokens to every session and 376 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
clean-slate-workspace compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| clean-slate-workspacelsampaioweb/ai-instructions | Skill | 1 | 5d ago | MIT | A | 22 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |